DataScience x Logistic Regression - School-42 project
- Learn how to read a dataset, to visualize it in different ways, to select and clean unnecessary information from your data.
- Implement one-vs-all logistic regression that will solve classification problem
Look at subject.pdf for more information
To show the dataframe from a complete csvfile with all types of values and with all subjects
To display dataframe exactly as in the subject . Only numerical values, transposed texts and first four columns of Features
To display a dataframe with only numerical values, transposed axes and first four Subjects.
Histogram : show course marks distribution. For example ; The Best Hand concept does not provide us with any significant insights.
Scatter: how values for two courses using Cartesian coordinates.
Null or weak correlation example between Arithmancy and Care of Magical Creatures
Pair Plot: This scatter plot matrix visualizes the pairwise relationships between each subject and all other subjects. It allows you to see how each pair of subjects correlates with each other.
python3 logreg_train.py [-h] [-v] dataset
python3 logreg_predict.py dataset weights Generate a file with all predictions for a given dataset
Evaluate.py
